资源推荐：目标检测算法进展大综述

资源推荐：目标检测算法进展大综述

深度学习思考者 2018-12-22 19:28:58

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性能对比

2018检测论文

• [YOLO v3] YOLOv3: An Incremental Improvement
• [ZIP] Zoom Out-and-In Network with Recursive Training for Object Proposal
• [SIN] Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships
• [STDN] Scale-Transferrable Object Detection
• [RefineDet] Single-Shot Refinement Neural Network for Object Detection
• [MegDet] MegDet: A Large Mini-Batch Object Detector
• [DA Faster R-CNN] Domain Adaptive Faster R-CNN for Object Detection in the Wild
• [SNIP] An Analysis of Scale Invariance in Object Detection – SNIP
• [Relation-Network] Relation Networks for Object Detection
• [Cascade R-CNN] Cascade R-CNN: Delving into High Quality Object Detection
• Finding Tiny Faces in the Wild with Generative Adversarial Network
• [STDnet] STDnet: A ConvNet for Small Target Detection
• [RFBNet] Receptive Field Block Net for Accurate and Fast Object Detection
• Zero-Annotation Object Detection with Web Knowledge Transfer
• [CornerNet] CornerNet: Detecting Objects as Paired Keypoints
• [Pelee] Pelee: A Real-Time Object Detection System on Mobile Devices
• [HKRM] Hybrid Knowledge Routed Modules for Large-scale Object Detection
• [MetaAnchor] MetaAnchor: Learning to Detect Objects with Customized Anchors
• [SNIPER] SNIPER: Efficient Multi-Scale Training

链接：https://github.com/hoya012/deep_learning_object_detection

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